Artificial intelligence driven educational method

Abstract

A method for providing personalized educational content includes capturing a learner's initial learning preferences, styles, and knowledge to generate an AI Key unique to the learner; presenting the learner with educational material from an educator; dynamically updating the AI Key based on continuous learner interactions with the educational material and the learner's progress; utilizing the AI Key to inform AI-driven educational tools and services and an educator about the learner's personalized learning profile; and iteratively updating the educational material using the AI-driven educational tools and services and the educator's input to tailor the updated educational material to the learner based on the dynamically updated AI key. The method additionally prompts the educator to create or provide additional educational content tailored to the learner's personalized learning profile, the learner's interactions with the educational material, and the learner's progress. The educational material is generated by the educator or with assistance of AI.

The invention claimed is: 
     
         1 . A method for providing personalized and customizable educational content, the method comprising:
 a computer system comprising a program application, secure data storage in non-transient memory, and a learner networked computer or a learner cloud-based mobile device having a learner portal and capturing a learner's initial learning preferences, styles, Artificial Intelligence (AI) interaction and knowledge;   generating an AI Key unique to the learner through the computer system based on input as to at least one of learner study habits, acquired knowledge, and preferred learning styles through a series of survey questions, computational observations, or a combination thereof;   gathering explicit information about the preferred learning style, interests including specific subjects or topics, skill levels including existing knowledge or proficiency in the specific subjects or topics, performance data from assessments and quizzes to gauge mastery and areas for improvement;   interacting via AI prompts to gather the learning styles of the learner, the learning styles being verbal-linguistic, logical-mathematical, spatial, musical, bodily-kinesthetic, interpersonal, intrapersonal, naturalistic intelligence, or a combination thereof;   presenting via the learner networked computer or the learner cloud-based mobile device, the learner with educational material from an educator, by way of an educator networked computer or an educator cloud-based mobile device of the computer system, the educator networked computer or the educator cloud-based mobile device having an educator portal, the educator portal comprising graphical user interface, wherein the educator sets up an educator profile within the system using a username and password and thereafter sets up a course section for each course taught by the educator, the educator profile comprises a list of learners participating in a given course taught by the educator;   dynamically updating, via the program application, the AI Key based on continuous learner interactions with the educational material and the learner's progress in mastering the educational material and changes to the learner's initial learning preferences via the computer system using inputs of behavior of the learner to infer additional preferences and learning patterns, the inputs including at least one of type of content engaged, time spent on different activities, and performance metrics from quizzes or assessments to generate Knowledge Concept Graphs (KCG) and Cognitive Blueprints (CB);   utilizing the AI Key to inform AI-driven educational tools and services and an educator about the learner's personalized learning profile;   sharing the KCG and CB for the learner with the educator through the educator portal and allowing the educator the option to update the AI key based on the KCG and CB and override computer system updates to the AI key; and   iteratively updating the educational material using the AI-driven educational tools and services and the educator's input to tailor the updated educational material to the learner based on the dynamically updated AI key.   
     
     
         2 . The method of  claim 1  wherein the educational material is generated by the educator alone or with the assistance of AI. 
     
     
         3 . The method of  claim 1  further comprising prompting the educator to create or provide additional educational content tailored to the learner's personalized learning profile, the learner's interactions with the educational material, and the learner's progress. 
     
     
         4 . The method of  claim 3  wherein prompting the educator to create or provide additional educational content includes suggestions for additional educational content based on the AI-driven educational tools and services. 
     
     
         5 . The method of  claim 1  further comprising facilitating the transfer of the personalized AI Key to a different educational platform. 
     
     
         6 . The method of  claim 1  further comprising employing predictive analytics to customize future learning content and interventions tailored to the learner. 
     
     
         7 . The method of  claim 6  wherein the future learning content and interventions are provided to the educator for review and refinement before being provided to the learner. 
     
     
         8 . The method of  claim 1  further comprising dynamically updating the knowledge concept graph and the cognitive blueprint based on the learner's interactions with the educational material and the learner's progress. 
     
     
         9 . The method of  claim 1  further comprising providing access to the learner's knowledge concept graph cognitive blueprint with the learner. 
     
     
         10 . The method of  claim 1  further comprising collecting data on learner engagement with the educational material, assessment results indicative to learner mastery of the educational material, and direct feedback from the learner and the educator. 
     
     
         11 . The method of  claim 10  further comprising analyzing the data using artificial intelligence to determine the educational material's effectiveness in improving learning outcomes. 
     
     
         12 . The method of  claim 11  further comprising calculating compensation for the educator based on the analysis of the data, where compensation is directly tied to the effectiveness in improving learning outcomes of the educational material. 
     
     
         13 . The method of  claim 1  wherein the educational material includes a digital book embedded with interactive elements including multimedia, quizzes, exercises, and simulations. 
     
     
         14 . The method of  claim 13  further comprising adjusting the embedded interactive elements in real-time based on the learner's interactions and performance analytics. 
     
     
         15 . The method of  claim 13  further comprising prompting the educator create additional interactive elements based on the learner's interactions and performance analytics. 
     
     
         16 . The method of  claim 1  wherein the AI key further comprises inputs as to engagement patterns and learning schedules of the learner. 
     
     
         17 . The method of  claim 1  wherein the AI key further comprises inputs as preference of the leaner for concise articles over longer texts, interactive simulations over traditional lectures, or a combination thereof. 
     
     
         18 . The method of  claim 1  wherein the AI key is continuously updated in real-time. 
     
     
         19 . The method of  claim 1  wherein the computer system offers tailored feedback based on performance and engagement patterns of the learner with an option for the learner to reject the tailored feedback. 
     
     
         20 . A non-transitory computer-readable medium for providing personalized and customizable educational content comprising instructions stored thereon, that when executed on a processor, perform the steps of:
 capturing a learner's initial learning preferences, styles, and knowledge;   generating an AI Key unique to the learner based on input as to at least one of learner study habits, acquired knowledge, and preferred learning styles through a series of survey questions;   gathering explicit information about the preferred learning style, interests including specific subjects or topics, skill levels including existing knowledge or proficiency in the specific subjects or topics, performance data from assessments and quizzes to gauge mastery and areas for improvement;   interacting via AI prompts to gather the learning styles of the learner, the learning styles being verbal-linguistic, logical-mathematical, spatial, musical, bodily-kinesthetic, interpersonal, intrapersonal, naturalistic intelligence, or a combination thereof;   presenting the learner with educational material from an educator, by way of an educator networked computer or an educator cloud-based mobile device of the computer system, the educator networked computer or the educator cloud-based mobile device having an educator portal, the educator portal comprising graphical user interface, wherein the educator sets up an educator profile within the system using a username and password and thereafter sets up a course section for each course taught by the educator, the educator profile comprises a list of learners participating in a given course taught by the educator;   dynamically updating the AI Key based on continuous learner interactions with the educational material and the learner's progress in mastering the educational material and changes to the learner's initial learning preferences via the computer system using inputs of behavior of the learner to infer additional preferences and learning patterns, the inputs including at least one of type of content engaged, time spent on different activities, and performance metrics from quizzes or assessments to generate Knowledge Concept Graphs (KCG) and Cognitive Blueprints (CB);   utilizing the AI Key to inform AI-driven educational tools and services and an educator about the learner's personalized learning profile;   sharing the KCG and CB for the learner with the educator through the educator portal and allowing the educator the option to update the AI key based on the KCG and CB and override computer system updates to the AI key; and   iteratively updating the educational material using the AI-driven educational tools and services and the educator's input to tailor the updated educational material to the learner based on the dynamically updated AI key.